Rate My Professor Jianfeng Zhou

Zhou's research specializes in digital and precision agriculture technologies for climate-smart crop and animal production, encompassing AI-enabled high-throughput crop phenotyping, robotic harvesting for specialty crops, precision livestock farming, autonomous tractor technology, computer vision, and IoT-based decision support systems. He has authored more than 50 journal papers, six book chapters, edited two books—High-throughput Crop Phenotyping (Springer, 2021) and Unmanned Aerial Systems in Precision Agriculture (Springer, 2021)—and holds invention disclosures and patents. Key publications include Yield estimation in cotton using UAV-based multi-sensor imagery (Biosystems Engineering, 2020), Classification of soybean leaf wilting due to drought stress using UAV-based imagery (Computers and Electronics in Agriculture, 2020), and Estimation of the maturity date of soybean breeding lines using UAV-based multispectral imagery (Remote Sensing, 2019). Among his honors are the ITSC Paper Award from ASABE (2020), Outstanding Paper Reviewer for ASABE (2019, 2017), Outstanding Reviewer for Computers and Electronics in Agriculture (2018, 2017), and Outstanding Reviewer for Biosystems Engineering (2017). Zhou serves as Associate Editor for Frontiers in Plant Science and Journal of ASABE, and teaches courses such as Sensor and Control Technology for Agricultural Systems, Internet of Things for Agricultural Systems, and Optimization and Management of Food and Agricultural Systems.